Data Champions Search

Dequn Teng

PhD Candidate, Department of Engineering

Areas Of Expertise:

Python, SQL, Matlab, Machine learning, Statistical analysis, Data collection, Database design, Copyright, Data sharing, Code sharing, Open data, Imagin

Dequn (Peter) Teng is a Ph.D. candidate supervised by Dr. Veronica Martinez in the Business Model Innovation Group at the Institute of Manufacturing. His current research area is on blockchain and machine learning integrated methods for supply chain management.

Dequn graduated from University of Liverpool (2+2 route) with a first class honours degree in Computer Science and Electronic Engineering. His past research experiences relate to blockchain and digital innovation, with peer reviewed conference paper publications on IEEE Xplore and EI. Additionally, He has ten invention patent applications under substantive review process, ranging from Blockchain and Mechanical Design Innovation. For industrial exposure, he has taken research internships at Deutsche Bank (Shanghai) for digital transformation research, and Unilever (UK) for PowerBI visualization. Moreover, he loves mathematical modelling and was awarded Meritorious Winner at the Mathematical Contest in Modeling.

Hugo P. Bastos, PhD

Postdoctoral Research Associate, Haematology/Cambridge Stem Cell Institute

Areas Of Expertise:

Python, R language, SQL, Data visualisation, Machine learning, Statistical analysis, Database design, Data storage, Bioinformatics

Contact Information

hpb29@cam.ac.uk

ORCiD:

0000-0002-8072-4070

Biography

I provide Bioinformatic support for a few research groups in the Cambridge Stem Cell Institute. For the most part I deal with the analysis of single cell sequencing data, storage management of such data and the deployment of data processing pipelines into HPC environments.

Jason Gellis, PhD

Research Associate

Department of Archaeology

Areas Of Expertise:

Python, R language, Git, Data visualisation, Big data, Machine learning, Statistical analysis, Data Management Plans, Data collection, Database design, Version control, Data storage, Discipline-specific repositories, General repositories, Data sharing, Code sharing, Open data, FAIR Data

Contact Information

jg760@cam.ac.uk

My LinkedIn Profile

Biography

I am a researcher and educator in paleoanthropology and biology. Currently, I am developing machine learning and AI applications for human evolutionary studies with the University of Cambridge Leverhulme Center for Human Evolutionary Studies and the Alan Turing Institute.

Katharina Zuhlsdorff

PhD Student

Department of Psychology

Department of Applied Mathematics and Theoretical Physics

Areas Of Expertise:

Big data, Code sharing, Data analysis, Coding, Python, R language, Git, Matlab, Data visualisation, Data mining, Machine learning, Statistical analysis, Data Management Plans, Data collection, Database design, Data architecture, Experimental design, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Data archiving, Open data, Imaging, Workshop delivery

Contact Information

kz294@cam.ac.uk

@katha_zuehli

My LinkedIn Profile

Biography

I am a Neuroscience PhD student interested in big data and creating/sharing reproducible pipelines for data analysis. I would like to contribute to a culture of sharing code and spreading awareness of the importance of these topics.

Sergio Martínez Cuesta, PhD

Postdoctoral Research Associate

Cancer Research UK Cambridge Institute

Areas Of Expertise:

Bioinformatics, Cheminformatics, Coding, Python, R language, SQL, Git, Data visualisation, Big data, Data mining, Machine learning, Statistical analysis, Electronic Lab Notebooks, Data collection, Database design, Data architecture, Experimental design, Research data ethics, Data storage, Institutional repositories, Discipline-specific repositories, Data sharing, Data archiving, Code sharing, Open data, Data preservation, Writing/publishing data papers, Imaging, Workshop delivery, Video editing

Contact Information

sermarcue@gmail.com

My LinkedIn Profile

ORCiD:

0000-0001-9806-2805

Biography

My research involves developing computational methods to explore the chemical biology of the genome and investigating proteins catalysing chemical modifications in DNA.

Additional areas of expertise:

Computational biology/chemistry.

Shamith Samarajiwa, PhD

Group Leader

MRC Cancer Unit

Areas Of Expertise:

File sharing systems, Big data, Discipline-specific repositories, Repositories (general), Data sharing policies, Sensitive data, Code sharing, Data analysis, Bioinformatics, Data science, Coding, Python, R language, Git, SQL, C/C++/C# language, Data visualisation, Data mining, Machine learning, Statistical analysis, Data Management Plans, Electronic Lab Notebooks, Data collection, Database design, Experimental design, Data storage, Data sharing, Open data, Version control, Textual data, Workshop delivery, Website development

Contact Information

ss861@mrc-cu.cam.ac.uk

@shamith

ORCiD:

0000-0003-1046-0601

Biography

Shamith is a Group Leader at the MRC Cancer Unit. His lab develops and applies Genomics, Computational Biology, Data Science and AI approaches to understand processes leading to cancer formation and to develop cancer early detection methods.

url: https://samarajiwa-lab.org/

Dequn Teng

Contact Information

Biography

Hugo P. Bastos, PhD

Contact Information

Biography

Jason Gellis, PhD

Contact Information

Biography

Katharina Zuhlsdorff

Contact Information

Biography

Sergio Martínez Cuesta, PhD

Contact Information

Biography

Shamith Samarajiwa, PhD

Contact Information

Biography

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